Pandas profiling report

Dataset statistics

Number of variables	17
Number of observations	1003
Missing cells	149
Missing cells (%)	0.9%
Duplicate rows	3
Duplicate rows (%)	0.3%
Total size in memory	133.3 KiB
Average record size in memory	136.1 B

Variable types

Categorical	10
Numeric	7

Alerts

`gross margin percentage` has constant value "4.761904762"	Constant
Dataset has 3 (0.3%) duplicate rows	Duplicates
`Invoice ID` has a high cardinality: 1000 distinct values	High cardinality
`Date` has a high cardinality: 89 distinct values	High cardinality
`Time` has a high cardinality: 506 distinct values	High cardinality
`Unit price` is highly correlated with `Tax 5%` and 3 other fields	High correlation
`Quantity` is highly correlated with `Tax 5%` and 3 other fields	High correlation
`Tax 5%` is highly correlated with `Unit price` and 4 other fields	High correlation
`Total` is highly correlated with `Unit price` and 4 other fields	High correlation
`cogs` is highly correlated with `Unit price` and 4 other fields	High correlation
`gross income` is highly correlated with `Unit price` and 4 other fields	High correlation
`Payment` is highly correlated with `gross margin percentage`	High correlation
`City` is highly correlated with `Branch`	High correlation
`gross margin percentage` is highly correlated with `Payment` and 6 other fields	High correlation
`Branch` is highly correlated with `City`	High correlation
`Gender` is highly correlated with `gross margin percentage`	High correlation
`Date` is highly correlated with `gross margin percentage`	High correlation
`Product line` is highly correlated with `gross margin percentage`	High correlation
`Customer type` is highly correlated with `gross margin percentage`	High correlation
`Customer type` has 79 (7.9%) missing values	Missing
`Product line` has 43 (4.3%) missing values	Missing
`Quantity` has 20 (2.0%) missing values	Missing
`Invoice ID` is uniformly distributed	Uniform
`Time` is uniformly distributed	Uniform

Reproduction

Analysis started	2022-10-18 20:50:47.407437
Analysis finished	2022-10-18 20:50:54.381403
Duration	6.97 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

Invoice ID
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1000
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Memory size	8.0 KiB

849-09-3807	2
452-04-8808	2
745-74-0715	2
491-38-3499	1
322-02-2271	1
Other values (995)	995

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	11033
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	997 ?
Unique (%)	99.4%

Sample

1st row	750-67-8428
2nd row	226-31-3081
3rd row	631-41-3108
4th row	123-19-1176
5th row	373-73-7910

Common Values

Value	Count	Frequency (%)
849-09-3807	2	0.2%
452-04-8808	2	0.2%
745-74-0715	2	0.2%
491-38-3499	1	0.1%
322-02-2271	1	0.1%
816-72-8853	1	0.1%
842-29-4695	1	0.1%
725-67-2480	1	0.1%
642-61-4706	1	0.1%
641-51-2661	1	0.1%
Other values (990)	990	98.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
849-09-3807	2	0.2%
745-74-0715	2	0.2%
452-04-8808	2	0.2%
433-75-6987	1	0.1%
252-56-2699	1	0.1%
871-79-8483	1	0.1%
848-62-7243	1	0.1%
631-41-3108	1	0.1%
123-19-1176	1	0.1%
373-73-7910	1	0.1%
Other values (990)	990	98.7%

Most occurring characters

Value	Count	Frequency (%)
-	2006	18.2%
2	958	8.7%
6	954	8.6%
1	951	8.6%
8	949	8.6%
5	930	8.4%
4	923	8.4%
3	910	8.2%
7	899	8.1%
0	814	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9027	81.8%
Dash Punctuation	2006	18.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	958	10.6%
6	954	10.6%
1	951	10.5%
8	949	10.5%
5	930	10.3%
4	923	10.2%
3	910	10.1%
7	899	10.0%
0	814	9.0%
9	739	8.2%

Dash Punctuation

Value	Count	Frequency (%)
-	2006	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	2006	18.2%
2	958	8.7%
6	954	8.6%
1	951	8.6%
8	949	8.6%
5	930	8.4%
4	923	8.4%
3	910	8.2%
7	899	8.1%
0	814	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	2006	18.2%
2	958	8.7%
6	954	8.6%
1	951	8.6%
8	949	8.6%
5	930	8.4%
4	923	8.4%
3	910	8.2%
7	899	8.1%
0	814	7.4%

Branch
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	8.0 KiB

A	342
B	333
C	328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1003
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A
2nd row	C
3rd row	A
4th row	A
5th row	A

Common Values

Value	Count	Frequency (%)
A	342	34.1%
B	333	33.2%
C	328	32.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
a	342	34.1%
b	333	33.2%
c	328	32.7%

Most occurring characters

Value	Count	Frequency (%)
A	342	34.1%
B	333	33.2%
C	328	32.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1003	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	342	34.1%
B	333	33.2%
C	328	32.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1003	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	342	34.1%
B	333	33.2%
C	328	32.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1003	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	342	34.1%
B	333	33.2%
C	328	32.7%

City
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	8.0 KiB

Yangon	342
Mandalay	333
Naypyitaw	328

Length

Max length	9
Median length	8
Mean length	7.645064806
Min length	6

Characters and Unicode

Total characters	7668
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yangon
2nd row	Naypyitaw
3rd row	Yangon
4th row	Yangon
5th row	Yangon

Common Values

Value	Count	Frequency (%)
Yangon	342	34.1%
Mandalay	333	33.2%
Naypyitaw	328	32.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
yangon	342	34.1%
mandalay	333	33.2%
naypyitaw	328	32.7%

Most occurring characters

Value	Count	Frequency (%)
a	1997	26.0%
n	1017	13.3%
y	989	12.9%
Y	342	4.5%
g	342	4.5%
o	342	4.5%
M	333	4.3%
d	333	4.3%
l	333	4.3%
N	328	4.3%
Other values (4)	1312	17.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6665	86.9%
Uppercase Letter	1003	13.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1997	30.0%
n	1017	15.3%
y	989	14.8%
g	342	5.1%
o	342	5.1%
d	333	5.0%
l	333	5.0%
p	328	4.9%
i	328	4.9%
t	328	4.9%

Uppercase Letter

Value	Count	Frequency (%)
Y	342	34.1%
M	333	33.2%
N	328	32.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7668	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1997	26.0%
n	1017	13.3%
y	989	12.9%
Y	342	4.5%
g	342	4.5%
o	342	4.5%
M	333	4.3%
d	333	4.3%
l	333	4.3%
N	328	4.3%
Other values (4)	1312	17.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7668	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1997	26.0%
n	1017	13.3%
y	989	12.9%
Y	342	4.5%
g	342	4.5%
o	342	4.5%
M	333	4.3%
d	333	4.3%
l	333	4.3%
N	328	4.3%
Other values (4)	1312	17.1%

Customer type
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	79
Missing (%)	7.9%
Memory size	8.0 KiB

Normal	470
Member	454

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	5544
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Member
2nd row	Normal
3rd row	Normal
4th row	Member
5th row	Normal

Common Values

Value	Count	Frequency (%)
Normal	470	46.9%
Member	454	45.3%
(Missing)	79	7.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
normal	470	50.9%
member	454	49.1%

Most occurring characters

Value	Count	Frequency (%)
r	924	16.7%
m	924	16.7%
e	908	16.4%
N	470	8.5%
o	470	8.5%
a	470	8.5%
l	470	8.5%
M	454	8.2%
b	454	8.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4620	83.3%
Uppercase Letter	924	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	924	20.0%
m	924	20.0%
e	908	19.7%
o	470	10.2%
a	470	10.2%
l	470	10.2%
b	454	9.8%

Uppercase Letter

Value	Count	Frequency (%)
N	470	50.9%
M	454	49.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5544	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	924	16.7%
m	924	16.7%
e	908	16.4%
N	470	8.5%
o	470	8.5%
a	470	8.5%
l	470	8.5%
M	454	8.2%
b	454	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5544	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	924	16.7%
m	924	16.7%
e	908	16.4%
N	470	8.5%
o	470	8.5%
a	470	8.5%
l	470	8.5%
M	454	8.2%
b	454	8.2%

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.0 KiB

Female	502
Male	501

Length

Max length	6
Median length	6
Mean length	5.000997009
Min length	4

Characters and Unicode

Total characters	5016
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Female	502	50.0%
Male	501	50.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
female	502	50.0%
male	501	50.0%

Most occurring characters

Value	Count	Frequency (%)
e	1505	30.0%
a	1003	20.0%
l	1003	20.0%
F	502	10.0%
m	502	10.0%
M	501	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4013	80.0%
Uppercase Letter	1003	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1505	37.5%
a	1003	25.0%
l	1003	25.0%
m	502	12.5%

Uppercase Letter

Value	Count	Frequency (%)
F	502	50.0%
M	501	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5016	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1505	30.0%
a	1003	20.0%
l	1003	20.0%
F	502	10.0%
m	502	10.0%
M	501	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5016	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1505	30.0%
a	1003	20.0%
l	1003	20.0%
F	502	10.0%
m	502	10.0%
M	501	10.0%

Product line
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.6%
Missing	43
Missing (%)	4.3%
Memory size	8.0 KiB

Fashion accessories	172
Electronic accessories	165
Food and beverages	165
Sports and travel	163
Home and lifestyle	151

Length

Max length	22
Median length	19
Mean length	18.546875
Min length	17

Characters and Unicode

Total characters	17805
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Health and beauty
2nd row	Electronic accessories
3rd row	Home and lifestyle
4th row	Health and beauty
5th row	Sports and travel

Common Values

Value	Count	Frequency (%)
Fashion accessories	172	17.1%
Electronic accessories	165	16.5%
Food and beverages	165	16.5%
Sports and travel	163	16.3%
Home and lifestyle	151	15.1%
Health and beauty	144	14.4%
(Missing)	43	4.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
and	623	24.5%
accessories	337	13.3%
fashion	172	6.8%
electronic	165	6.5%
food	165	6.5%
beverages	165	6.5%
sports	163	6.4%
travel	163	6.4%
home	151	5.9%
lifestyle	151	5.9%
Other values (2)	288	11.3%

Most occurring characters

Value	Count	Frequency (%)
e	2238	12.6%
a	1748	9.8%
s	1662	9.3%
	1583	8.9%
o	1318	7.4%
c	1004	5.6%
r	993	5.6%
n	960	5.4%
t	930	5.2%
i	825	4.6%
Other values (15)	4544	25.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15262	85.7%
Space Separator	1583	8.9%
Uppercase Letter	960	5.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2238	14.7%
a	1748	11.5%
s	1662	10.9%
o	1318	8.6%
c	1004	6.6%
r	993	6.5%
n	960	6.3%
t	930	6.1%
i	825	5.4%
d	788	5.2%
Other values (10)	2796	18.3%

Uppercase Letter

Value	Count	Frequency (%)
F	337	35.1%
H	295	30.7%
E	165	17.2%
S	163	17.0%

Space Separator

Value	Count	Frequency (%)
	1583	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16222	91.1%
Common	1583	8.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2238	13.8%
a	1748	10.8%
s	1662	10.2%
o	1318	8.1%
c	1004	6.2%
r	993	6.1%
n	960	5.9%
t	930	5.7%
i	825	5.1%
d	788	4.9%
Other values (14)	3756	23.2%

Common

Value	Count	Frequency (%)
	1583	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17805	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2238	12.6%
a	1748	9.8%
s	1662	9.3%
	1583	8.9%
o	1318	7.4%
c	1004	5.6%
r	993	5.6%
n	960	5.4%
t	930	5.2%
i	825	4.6%
Other values (15)	4544	25.5%

Unit price
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	938
Distinct (%)	94.2%
Missing	7
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	55.76456827

Minimum	10.08
Maximum	99.96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.0 KiB

Quantile statistics

Minimum	10.08
5-th percentile	15.275
Q1	33.125
median	55.42
Q3	78.085
95-th percentile	97.2125
Maximum	99.96
Range	89.88
Interquartile range (IQR)	44.96

Descriptive statistics

Standard deviation	26.51016538
Coefficient of variation (CV)	0.4753944342
Kurtosis	-1.222670132
Mean	55.76456827
Median Absolute Deviation (MAD)	22.575
Skewness	0.0001753484848
Sum	55541.51
Variance	702.7888687
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
83.77	3	0.3%
88.34	2	0.2%
60.3	2	0.2%
32.32	2	0.2%
32.25	2	0.2%
99.96	2	0.2%
45.58	2	0.2%
39.75	2	0.2%
68.71	2	0.2%
45.38	2	0.2%
Other values (928)	975	97.2%
(Missing)	7	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10.08	1	0.1%
10.13	1	0.1%
10.16	1	0.1%
10.17	1	0.1%
10.18	1	0.1%
10.53	1	0.1%
10.56	1	0.1%
10.59	1	0.1%
10.69	1	0.1%
10.75	1	0.1%

Value	Count	Frequency (%)
99.96	2	0.2%
99.92	1	0.1%
99.89	1	0.1%
99.83	1	0.1%
99.82	2	0.2%
99.79	1	0.1%
99.78	1	0.1%
99.73	1	0.1%
99.71	1	0.1%
99.7	1	0.1%

Quantity
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	1.0%
Missing	20
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.501525941

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.924673413
Coefficient of variation (CV)	0.5316113101
Kurtosis	-1.216926049
Mean	5.501525941
Median Absolute Deviation (MAD)	2
Skewness	0.01667945411
Sum	5408
Variance	8.553714573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
10	116	11.6%
1	111	11.1%
4	108	10.8%
7	100	10.0%
5	100	10.0%
6	96	9.6%
9	92	9.2%
2	89	8.9%
3	89	8.9%
8	82	8.2%
(Missing)	20	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	111	11.1%
2	89	8.9%
3	89	8.9%
4	108	10.8%
5	100	10.0%
6	96	9.6%
7	100	10.0%
8	82	8.2%
9	92	9.2%
10	116	11.6%

Value	Count	Frequency (%)
10	116	11.6%
9	92	9.2%
8	82	8.2%
7	100	10.0%
6	96	9.6%
5	100	10.0%
4	108	10.8%
3	89	8.9%
2	89	8.9%
1	111	11.1%

Tax 5%
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	990
Distinct (%)	98.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.4003679

Minimum	0.5085
Maximum	49.65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.0 KiB

Quantile statistics

Minimum	0.5085
5-th percentile	1.9575
Q1	5.89475
median	12.096
Q3	22.5395
95-th percentile	39.146
Maximum	49.65
Range	49.1415
Interquartile range (IQR)	16.64475

Descriptive statistics

Standard deviation	11.71519182
Coefficient of variation (CV)	0.760708569
Kurtosis	-0.09709035236
Mean	15.4003679
Median Absolute Deviation (MAD)	7.518
Skewness	0.8869824091
Sum	15446.569
Variance	137.2457195
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30.919	2	0.2%
9.0045	2	0.2%
4.464	2	0.2%
10.3635	2	0.2%
13.188	2	0.2%
8.377	2	0.2%
39.48	2	0.2%
5.803	2	0.2%
10.326	2	0.2%
12.57	2	0.2%
Other values (980)	983	98.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.5085	1	0.1%
0.6045	1	0.1%
0.627	1	0.1%
0.639	1	0.1%
0.699	1	0.1%
0.767	1	0.1%
0.7715	1	0.1%
0.775	1	0.1%
0.814	1	0.1%
0.8875	1	0.1%

Value	Count	Frequency (%)
49.65	1	0.1%
49.49	1	0.1%
49.26	1	0.1%
48.75	1	0.1%
48.69	1	0.1%
48.685	1	0.1%
48.605	1	0.1%
47.79	1	0.1%
47.72	1	0.1%
45.325	1	0.1%

Total
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	990
Distinct (%)	98.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	323.4077258

Minimum	10.6785
Maximum	1042.65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.0 KiB

Quantile statistics

Minimum	10.6785
5-th percentile	41.1075
Q1	123.78975
median	254.016
Q3	473.3295
95-th percentile	822.066
Maximum	1042.65
Range	1031.9715
Interquartile range (IQR)	349.53975

Descriptive statistics

Standard deviation	246.0190283
Coefficient of variation (CV)	0.760708569
Kurtosis	-0.09709035236
Mean	323.4077258
Median Absolute Deviation (MAD)	157.878
Skewness	0.8869824091
Sum	324377.949
Variance	60525.36229
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
649.299	2	0.2%
189.0945	2	0.2%
93.744	2	0.2%
217.6335	2	0.2%
276.948	2	0.2%
175.917	2	0.2%
829.08	2	0.2%
121.863	2	0.2%
216.846	2	0.2%
263.97	2	0.2%
Other values (980)	983	98.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10.6785	1	0.1%
12.6945	1	0.1%
13.167	1	0.1%
13.419	1	0.1%
14.679	1	0.1%
16.107	1	0.1%
16.2015	1	0.1%
16.275	1	0.1%
17.094	1	0.1%
18.6375	1	0.1%

Value	Count	Frequency (%)
1042.65	1	0.1%
1039.29	1	0.1%
1034.46	1	0.1%
1023.75	1	0.1%
1022.49	1	0.1%
1022.385	1	0.1%
1020.705	1	0.1%
1003.59	1	0.1%
1002.12	1	0.1%
951.825	1	0.1%

Date
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	89
Distinct (%)	8.9%
Missing	0
Missing (%)	0.0%
Memory size	8.0 KiB

2/7/19	20
2/15/19	19
1/26/19	18
3/2/19	18
1/8/19	18
Other values (84)	910

Length

Max length	7
Median length	7
Mean length	6.677966102
Min length	6

Characters and Unicode

Total characters	6698
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1/5/19
2nd row	3/8/19
3rd row	3/3/19
4th row	1/27/19
5th row	2/8/19

Common Values

Value	Count	Frequency (%)
2/7/19	20	2.0%
2/15/19	19	1.9%
1/26/19	18	1.8%
3/2/19	18	1.8%
1/8/19	18	1.8%
3/14/19	18	1.8%
1/25/19	17	1.7%
3/5/19	17	1.7%
1/23/19	17	1.7%
3/9/19	16	1.6%
Other values (79)	825	82.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2/7/19	20	2.0%
2/15/19	19	1.9%
1/26/19	18	1.8%
3/2/19	18	1.8%
1/8/19	18	1.8%
3/14/19	18	1.8%
1/25/19	17	1.7%
3/5/19	17	1.7%
1/23/19	17	1.7%
3/19/19	16	1.6%
Other values (79)	825	82.3%

Most occurring characters

Value	Count	Frequency (%)
/	2006	29.9%
1	1769	26.4%
9	1101	16.4%
2	725	10.8%
3	480	7.2%
5	127	1.9%
7	106	1.6%
4	101	1.5%
6	100	1.5%
8	95	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4692	70.1%
Other Punctuation	2006	29.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1769	37.7%
9	1101	23.5%
2	725	15.5%
3	480	10.2%
5	127	2.7%
7	106	2.3%
4	101	2.2%
6	100	2.1%
8	95	2.0%
0	88	1.9%

Other Punctuation

Value	Count	Frequency (%)
/	2006	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	6698	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	2006	29.9%
1	1769	26.4%
9	1101	16.4%
2	725	10.8%
3	480	7.2%
5	127	1.9%
7	106	1.6%
4	101	1.5%
6	100	1.5%
8	95	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6698	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	2006	29.9%
1	1769	26.4%
9	1101	16.4%
2	725	10.8%
3	480	7.2%
5	127	1.9%
7	106	1.6%
4	101	1.5%
6	100	1.5%
8	95	1.4%

Time
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	506
Distinct (%)	50.4%
Missing	0
Missing (%)	0.0%
Memory size	8.0 KiB

19:48	7
14:42	7
17:38	6
17:16	5
10:11	5
Other values (501)	973

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	5015
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	209 ?
Unique (%)	20.8%

Sample

1st row	13:08
2nd row	10:29
3rd row	13:23
4th row	20:33
5th row	10:37

Common Values

Value	Count	Frequency (%)
19:48	7	0.7%
14:42	7	0.7%
17:38	6	0.6%
17:16	5	0.5%
10:11	5	0.5%
17:36	5	0.5%
13:58	5	0.5%
19:20	5	0.5%
11:40	5	0.5%
19:44	5	0.5%
Other values (496)	948	94.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
19:48	7	0.7%
14:42	7	0.7%
17:38	6	0.6%
11:40	5	0.5%
13:48	5	0.5%
19:30	5	0.5%
11:51	5	0.5%
19:44	5	0.5%
19:39	5	0.5%
19:20	5	0.5%
Other values (496)	948	94.5%

Most occurring characters

Value	Count	Frequency (%)
1	1253	25.0%
:	1003	20.0%
2	443	8.8%
0	438	8.7%
3	379	7.6%
4	377	7.5%
5	355	7.1%
8	217	4.3%
9	200	4.0%
6	185	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4012	80.0%
Other Punctuation	1003	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1253	31.2%
2	443	11.0%
0	438	10.9%
3	379	9.4%
4	377	9.4%
5	355	8.8%
8	217	5.4%
9	200	5.0%
6	185	4.6%
7	165	4.1%

Other Punctuation

Value	Count	Frequency (%)
:	1003	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5015	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1253	25.0%
:	1003	20.0%
2	443	8.8%
0	438	8.7%
3	379	7.6%
4	377	7.5%
5	355	7.1%
8	217	4.3%
9	200	4.0%
6	185	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5015	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1253	25.0%
:	1003	20.0%
2	443	8.8%
0	438	8.7%
3	379	7.6%
4	377	7.5%
5	355	7.1%
8	217	4.3%
9	200	4.0%
6	185	3.7%

Payment
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	8.0 KiB

Ewallet	346
Cash	346
Credit card	311

Length

Max length	11
Median length	7
Mean length	7.205383848
Min length	4

Characters and Unicode

Total characters	7227
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ewallet
2nd row	Cash
3rd row	Credit card
4th row	Ewallet
5th row	Ewallet

Common Values

Value	Count	Frequency (%)
Ewallet	346	34.5%
Cash	346	34.5%
Credit card	311	31.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ewallet	346	26.3%
cash	346	26.3%
credit	311	23.7%
card	311	23.7%

Most occurring characters

Value	Count	Frequency (%)
a	1003	13.9%
l	692	9.6%
e	657	9.1%
t	657	9.1%
C	657	9.1%
r	622	8.6%
d	622	8.6%
E	346	4.8%
w	346	4.8%
s	346	4.8%
Other values (4)	1279	17.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5913	81.8%
Uppercase Letter	1003	13.9%
Space Separator	311	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1003	17.0%
l	692	11.7%
e	657	11.1%
t	657	11.1%
r	622	10.5%
d	622	10.5%
w	346	5.9%
s	346	5.9%
h	346	5.9%
i	311	5.3%

Uppercase Letter

Value	Count	Frequency (%)
C	657	65.5%
E	346	34.5%

Space Separator

Value	Count	Frequency (%)
	311	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6916	95.7%
Common	311	4.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1003	14.5%
l	692	10.0%
e	657	9.5%
t	657	9.5%
C	657	9.5%
r	622	9.0%
d	622	9.0%
E	346	5.0%
w	346	5.0%
s	346	5.0%
Other values (3)	968	14.0%

Common

Value	Count	Frequency (%)
	311	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7227	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1003	13.9%
l	692	9.6%
e	657	9.1%
t	657	9.1%
C	657	9.1%
r	622	8.6%
d	622	8.6%
E	346	4.8%
w	346	4.8%
s	346	4.8%
Other values (4)	1279	17.7%

cogs
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	990
Distinct (%)	98.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	308.0073579

Minimum	10.17
Maximum	993
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.0 KiB

Quantile statistics

Minimum	10.17
5-th percentile	39.15
Q1	117.895
median	241.92
Q3	450.79
95-th percentile	782.92
Maximum	993
Range	982.83
Interquartile range (IQR)	332.895

Descriptive statistics

Standard deviation	234.3038365
Coefficient of variation (CV)	0.760708569
Kurtosis	-0.09709035236
Mean	308.0073579
Median Absolute Deviation (MAD)	150.36
Skewness	0.8869824091
Sum	308931.38
Variance	54898.28779
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
618.38	2	0.2%
180.09	2	0.2%
89.28	2	0.2%
207.27	2	0.2%
263.76	2	0.2%
167.54	2	0.2%
789.6	2	0.2%
116.06	2	0.2%
206.52	2	0.2%
251.4	2	0.2%
Other values (980)	983	98.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10.17	1	0.1%
12.09	1	0.1%
12.54	1	0.1%
12.78	1	0.1%
13.98	1	0.1%
15.34	1	0.1%
15.43	1	0.1%
15.5	1	0.1%
16.28	1	0.1%
17.75	1	0.1%

Value	Count	Frequency (%)
993	1	0.1%
989.8	1	0.1%
985.2	1	0.1%
975	1	0.1%
973.8	1	0.1%
973.7	1	0.1%
972.1	1	0.1%
955.8	1	0.1%
954.4	1	0.1%
906.5	1	0.1%

gross margin percentage
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.0 KiB

4.761904762	1003

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	11033
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.761904762
2nd row	4.761904762
3rd row	4.761904762
4th row	4.761904762
5th row	4.761904762

Common Values

Value	Count	Frequency (%)
4.761904762	1003	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4.761904762	1003	100.0%

Most occurring characters

Value	Count	Frequency (%)
4	2006	18.2%
7	2006	18.2%
6	2006	18.2%
.	1003	9.1%
1	1003	9.1%
9	1003	9.1%
0	1003	9.1%
2	1003	9.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10030	90.9%
Other Punctuation	1003	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	2006	20.0%
7	2006	20.0%
6	2006	20.0%
1	1003	10.0%
9	1003	10.0%
0	1003	10.0%
2	1003	10.0%

Other Punctuation

Value	Count	Frequency (%)
.	1003	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	11033	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	2006	18.2%
7	2006	18.2%
6	2006	18.2%
.	1003	9.1%
1	1003	9.1%
9	1003	9.1%
0	1003	9.1%
2	1003	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11033	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	2006	18.2%
7	2006	18.2%
6	2006	18.2%
.	1003	9.1%
1	1003	9.1%
9	1003	9.1%
0	1003	9.1%
2	1003	9.1%

gross income
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	990
Distinct (%)	98.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.4003679

Minimum	0.5085
Maximum	49.65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.0 KiB

Quantile statistics

Minimum	0.5085
5-th percentile	1.9575
Q1	5.89475
median	12.096
Q3	22.5395
95-th percentile	39.146
Maximum	49.65
Range	49.1415
Interquartile range (IQR)	16.64475

Descriptive statistics

Standard deviation	11.71519182
Coefficient of variation (CV)	0.760708569
Kurtosis	-0.09709035236
Mean	15.4003679
Median Absolute Deviation (MAD)	7.518
Skewness	0.8869824091
Sum	15446.569
Variance	137.2457195
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30.919	2	0.2%
9.0045	2	0.2%
4.464	2	0.2%
10.3635	2	0.2%
13.188	2	0.2%
8.377	2	0.2%
39.48	2	0.2%
5.803	2	0.2%
10.326	2	0.2%
12.57	2	0.2%
Other values (980)	983	98.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.5085	1	0.1%
0.6045	1	0.1%
0.627	1	0.1%
0.639	1	0.1%
0.699	1	0.1%
0.767	1	0.1%
0.7715	1	0.1%
0.775	1	0.1%
0.814	1	0.1%
0.8875	1	0.1%

Value	Count	Frequency (%)
49.65	1	0.1%
49.49	1	0.1%
49.26	1	0.1%
48.75	1	0.1%
48.69	1	0.1%
48.685	1	0.1%
48.605	1	0.1%
47.79	1	0.1%
47.72	1	0.1%
45.325	1	0.1%

Rating
Real number (ℝ_≥0)

Distinct	61
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.972681954

Minimum	4
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.0 KiB

Quantile statistics

Minimum	4
5-th percentile	4.3
Q1	5.5
median	7
Q3	8.5
95-th percentile	9.7
Maximum	10
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.717646897
Coefficient of variation (CV)	0.2463394872
Kurtosis	-1.151294482
Mean	6.972681954
Median Absolute Deviation (MAD)	1.5
Skewness	0.009592348981
Sum	6993.6
Variance	2.950310864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	26	2.6%
6.6	25	2.5%
4.2	22	2.2%
9.5	22	2.2%
6.5	21	2.1%
5	21	2.1%
6.2	21	2.1%
8	21	2.1%
5.1	21	2.1%
7.6	20	2.0%
Other values (51)	783	78.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	11	1.1%
4.1	17	1.7%
4.2	22	2.2%
4.3	18	1.8%
4.4	17	1.7%
4.5	17	1.7%
4.6	8	0.8%
4.7	12	1.2%
4.8	13	1.3%
4.9	18	1.8%

Value	Count	Frequency (%)
10	5	0.5%
9.9	16	1.6%
9.8	19	1.9%
9.7	14	1.4%
9.6	17	1.7%
9.5	22	2.2%
9.4	12	1.2%
9.3	16	1.6%
9.2	16	1.6%
9.1	14	1.4%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Invoice ID	Branch	City	Customer type	Gender	Product line	Unit price	Quantity	Tax 5%	Total	Date	Time	Payment	cogs	gross margin percentage	gross income	Rating
0	750-67-8428	A	Yangon	Member	Female	Health and beauty	74.69	7.0	26.1415	548.9715	1/5/19	13:08	Ewallet	522.83	4.761905	26.1415	9.1
1	226-31-3081	C	Naypyitaw	Normal	Female	Electronic accessories	15.28	5.0	3.8200	80.2200	3/8/19	10:29	Cash	76.40	4.761905	3.8200	9.6
2	631-41-3108	A	Yangon	Normal	Male	Home and lifestyle	46.33	7.0	16.2155	340.5255	3/3/19	13:23	Credit card	324.31	4.761905	16.2155	7.4
3	123-19-1176	A	Yangon	Member	Male	Health and beauty	58.22	8.0	23.2880	489.0480	1/27/19	20:33	Ewallet	465.76	4.761905	23.2880	8.4
4	373-73-7910	A	Yangon	Normal	Male	Sports and travel	86.31	7.0	30.2085	634.3785	2/8/19	10:37	Ewallet	604.17	4.761905	30.2085	5.3
5	699-14-3026	C	Naypyitaw	Normal	Male	Electronic accessories	85.39	7.0	29.8865	627.6165	3/25/19	18:30	Ewallet	597.73	4.761905	29.8865	4.1
6	355-53-5943	A	Yangon	Member	Female	NaN	68.84	6.0	20.6520	433.6920	2/25/19	14:36	Ewallet	413.04	4.761905	20.6520	5.8
7	315-22-5665	C	Naypyitaw	Normal	Female	NaN	73.56	10.0	36.7800	772.3800	2/24/19	11:38	Ewallet	735.60	4.761905	36.7800	8.0
8	665-32-9167	A	Yangon	Member	Female	NaN	36.26	2.0	3.6260	76.1460	1/10/19	17:15	Credit card	72.52	4.761905	3.6260	7.2
9	692-92-5582	B	Mandalay	Member	Female	NaN	54.84	3.0	8.2260	172.7460	2/20/19	13:27	Credit card	164.52	4.761905	8.2260	5.9

Last rows

	Invoice ID	Branch	City	Customer type	Gender	Product line	Unit price	Quantity	Tax 5%	Total	Date	Time	Payment	cogs	gross margin percentage	gross income	Rating
993	690-01-6631	B	Mandalay	Normal	Male	Fashion accessories	NaN	10.0	8.7450	183.6450	2/22/19	18:35	Ewallet	174.90	4.761905	8.7450	6.6
994	652-49-6720	C	Naypyitaw	Member	Female	Electronic accessories	NaN	1.0	3.0475	63.9975	2/18/19	11:40	Ewallet	60.95	4.761905	3.0475	5.9
995	233-67-5758	C	Naypyitaw	Normal	Male	Health and beauty	NaN	1.0	2.0175	42.3675	1/29/19	13:46	Ewallet	40.35	4.761905	2.0175	6.2
996	303-96-2227	B	Mandalay	Normal	Female	Home and lifestyle	NaN	10.0	48.6900	1022.4900	3/2/19	17:16	Ewallet	973.80	4.761905	48.6900	4.4
997	727-02-1313	A	Yangon	Member	Male	Food and beverages	NaN	1.0	1.5920	33.4320	2/9/19	13:22	Cash	31.84	4.761905	1.5920	7.7
998	347-56-2442	A	Yangon	Normal	Male	Home and lifestyle	65.82	1.0	3.2910	69.1110	2/22/19	15:33	Cash	65.82	4.761905	3.2910	4.1
999	849-09-3807	A	Yangon	Member	Female	Fashion accessories	88.34	7.0	30.9190	649.2990	2/18/19	13:28	Cash	618.38	4.761905	30.9190	6.6
1000	849-09-3807	A	Yangon	Member	Female	Fashion accessories	88.34	7.0	30.9190	649.2990	2/18/19	13:28	Cash	618.38	4.761905	30.9190	6.6
1001	745-74-0715	A	Yangon	Normal	Male	Electronic accessories	NaN	2.0	5.8030	121.8630	3/10/19	20:46	Ewallet	116.06	4.761905	5.8030	8.8
1002	452-04-8808	B	Mandalay	Normal	Male	Electronic accessories	87.08	NaN	30.4780	640.0380	1/26/19	15:17	Cash	609.56	4.761905	30.4780	5.5

Most frequently occurring

	Invoice ID	Branch	City	Customer type	Gender	Product line	Unit price	Quantity	Tax 5%	Total	Date	Time	Payment	cogs	gross margin percentage	gross income	Rating	# duplicates
0	452-04-8808	B	Mandalay	Normal	Male	Electronic accessories	87.08	NaN	30.478	640.038	1/26/19	15:17	Cash	609.56	4.761905	30.478	5.5	2
1	745-74-0715	A	Yangon	Normal	Male	Electronic accessories	NaN	2.0	5.803	121.863	3/10/19	20:46	Ewallet	116.06	4.761905	5.803	8.8	2
2	849-09-3807	A	Yangon	Member	Female	Fashion accessories	88.34	7.0	30.919	649.299	2/18/19	13:28	Cash	618.38	4.761905	30.919	6.6	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts